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Digital immunoassay for biomarker concentration quantification using solid-state nanopores
- Source :
- Nature Communications, Vol 12, Iss 1, Pp 1-11 (2021)
- Publication Year :
- 2021
- Publisher :
- Nature Portfolio, 2021.
-
Abstract
- Single-molecule counting is the most accurate and precise method for determining the concentration of a biomarker in solution and is leading to the emergence of digital diagnostic platforms enabling precision medicine. In principle, solid-state nanopores—fully electronic sensors with single-molecule sensitivity—are well suited to the task. Here we present a digital immunoassay scheme capable of reliably quantifying the concentration of a target protein in complex biofluids that overcomes specificity, sensitivity, and consistency challenges associated with the use of solid-state nanopores for protein sensing. This is achieved by employing easily-identifiable DNA nanostructures as proxies for the presence (“1”) or absence (“0”) of the target protein captured via a magnetic bead-based sandwich immunoassay. As a proof-of-concept, we demonstrate quantification of the concentration of thyroid-stimulating hormone from human serum samples down to the high femtomolar range. Further optimization to the method will push sensitivity and dynamic range, allowing for development of precision diagnostic tools compatible with point-of-care format.
- Subjects :
- Materials science
Science
Solid-state
General Physics and Astronomy
Thyrotropin
02 engineering and technology
Diagnostic tools
Sensitivity and Specificity
General Biochemistry, Genetics and Molecular Biology
03 medical and health sciences
Nanopores
medicine
Humans
Nanotechnology
Sensitivity (control systems)
Precision Medicine
030304 developmental biology
Immunoassay
0303 health sciences
Multidisciplinary
medicine.diagnostic_test
Dynamic range
Reproducibility of Results
General Chemistry
Blood Proteins
DNA
021001 nanoscience & nanotechnology
3. Good health
Biomarker (cell)
Nanopore
Target protein
0210 nano-technology
Biological system
Algorithms
Biomarkers
Subjects
Details
- Language :
- English
- ISSN :
- 20411723
- Volume :
- 12
- Issue :
- 1
- Database :
- OpenAIRE
- Journal :
- Nature Communications
- Accession number :
- edsair.doi.dedup.....c87351e0fec6758e2b2ea56b5706fb3e